Which jobs are most at risk from AI

No role-specific source items are attached yet, so the current score is inferred from the role profile and current AI capability trends.

No role-specific source items are attached yet, so the current score is inferred from the role profile and current AI capability trends. Data Entry Keyers face a high risk of automation due to the repetitive, rule-based nature of their tasks and the maturity of AI-driven data processing technologies.

The role of Computer Numerically Controlled Tool Operators faces severe replacement risk as AI and advanced automation capabilities are rapidly integrated into manufacturing. Recent developments highlight multi-agent systems for manufacturability optimization, AI-powered quality inspection, simplified CNC operation with automated programming, and autonomous industrial robots, significantly reducing the need for human intervention in operation, setup, and quality control.

AI-driven workflow automation and advanced agents are rapidly absorbing first-line support and triage, significantly increasing the replacement rate for Customer Service Representatives.

File Clerks face a severe risk of AI replacement. Their tasks are highly repetitive, rule-based, and involve low interpersonal interaction, making them prime candidates for automation by current AI capabilities in document management and data processing.

AI advancements in video generation and editing tools, driven by commercial adoption and rapid capability development, significantly increase the automation potential for film and video editors, particularly for repetitive and high-volume content.

Machine tool setters, operators, and tenders face significant replacement risk as manufacturing adopts smart, automated, and AI-driven production lines, drastically reducing manual intervention and boosting efficiency.

This role faces a high risk of AI replacement due to the repetitive nature of call routing and message handling, further exacerbated by significant advancements in AI voice intelligence capabilities.

The role of Billing and Posting Clerk involves highly repetitive, rule-based tasks such as invoice processing and payment recording, making it highly susceptible to automation by current AI technologies, particularly RPA and intelligent document processing. There is no recent evidence, so the score is based on the role profile.

The role involves highly repetitive, rule-based information and record management tasks, which are increasingly susceptible to automation. Recent advancements in AI, such as PII detection and redaction tools, further enhance AI's capability to handle sensitive data, driving up the potential for replacement.

Market Research Analysts and Marketing Specialists face a high risk of AI replacement due to the highly automatable nature of data analysis, report generation, and content creation tasks, further accelerated by recent advancements in AI's ability to understand consumer behavior and personalize interactions.

AI capabilities in multimodal content generation and sophisticated prompt engineering are rapidly advancing, enabling the automation of significant communication and media production tasks across text, image, and video. This includes generating marketing materials, internal communications, and various content assets at unprecedented speed and scale, leading to a substantial increase in potential replacement for diverse roles within this category.

The role of New Accounts Clerks shows a high potential for AI replacement, driven by the repetitive, rule-based nature of account processing and recent advancements in AI for account management and communication.

This role faces a high risk of AI replacement due to the increasing sophistication of AI agents and workflow automation tools. Recent developments show AI systems are capable of autonomously handling a broad range of general administrative tasks, from email management and document drafting to scheduling and recurring workflow execution, leading to significant reduction in manual effort across industries.

This role involves highly repetitive, rule-based tasks in mail sorting and machine operation, making it highly susceptible to AI and automation.

No role-specific source items are attached yet, so the current score is inferred from the role profile and current AI capability trends.

Counter and Rental Clerks face a high risk of AI replacement due to the repetitive, rule-based nature of their tasks, which are highly amenable to automation and self-service solutions.

The role of Data Warehousing Specialists faces a high risk of AI replacement as AI systems increasingly automate pipeline generation, data lifecycle management, operational optimization, and data integration tasks. The remaining human expertise will focus on strategic design, governance, and architecting data for AI consumption.

This role involves repetitive physical tasks of loading and unloading machines, which are highly amenable to automation by industrial robotics and advanced vision systems, even without specific recent evidence.

The role involves highly repetitive, rule-based tasks such as sorting, franking, and machine operation, which are prime candidates for automation by AI and robotics.